Hire the Best Scientific Computation Specialists

I help research teams and technical founders build reliable, testable scientific and quantitative software — from research prototypes and backtesting frameworks to production-grade execution systems, simulation engines, and performance optimization. I also conduct independent technical review of quantitative models, frameworks, and research. If you're dealing with slow code, messy data, a model you can't trust, or a research prototype that needs to become production, I can turn it into a robust, reproducible system. Credibility: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase (derivative pricing, 1M+ LOC C++ library). Max Planck Institute postdoc (general relativistic hydrodynamics simulations on HPC clusters, 1000+ cores). 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black-Scholes / numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order/risk handling Market data ingestion, cleaning, corporate actions handling, quality control checks ML and statistical models for time-series signals (proper time-series CV, no leakage) ▸ Scientific Computing & Research Tooling Custom software and research tooling for research-driven teams across physics, chemistry, biology, engineering and beyond — where the underlying problem is mathematical or computational. - Custom numerical solvers (finite volume / finite difference, spectral methods, particle methods), with stability and convergence analysis - Optimization engines (Bayesian optimization, gradient-based, evolutionary) for experimental design, formulation, and parameter search - Simulation frameworks for physical, chemical, and biological systems — from prototype to production-grade - Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows - Verification and validation: benchmarks, unit tests, regression tests, convergence studies - Analysis tools, dashboards, and reporting infrastructure for research workflows - Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Review of implementation against specification: numerical stability, edge cases, and code-to-specification fidelity ▸ HPC & Performance Engineering Performance engineering for large-scale scientific and ML workloads Distributed computing (MPI/OpenMP/CUDA), GPU optimization, memory and I/O tuning, parallel architectures, inference and training infrastructure at scale. Profiling, refactors, and speedups for codebases that need to run reliably under production load. WHY CLIENTS WORK WITH ME - Trustworthy engineering: I turn research prototypes into tested, reproducible production code - De-risking: I find failure modes early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability: clean architecture, docs, and handover-ready delivery your team can extend - Communication: clear milestones, concise updates, realistic timelines — no surprises - Math ↔ engineering bridge: strong intuition for both theory and implementation details IDEAL PROJECTS - Quant strategy development, backtesting and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models or implementations against specification - Market data pipeline and reproducibility upgrades - Performance optimization of slow Python/C++ codebases - Distributed training, GPU optimization, and inference serving for AI/ML workloads - Custom scientific or industrialized simulation or numerical software - Custom internal R&D tools for research labs and technical teams If this sounds like a fit, message me with a detailed brief with your current stack and success criteria — I'll let you know how I can help.

I am a wet-lab trained Computational Biologist with expertise in: - Developing complex custom analysis pipelines for RNA-seq data - Processing and analyzing data from large-scale public databases e.g ENCODE - Subject matter expertise in Stem Cell Biology, Epigenetics, Aging, and RNA biology

**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬

U.S.-educated PhD Biochemistry | 6+ yrs research | 2 peer-reviewed publications | Award-winning communicator | Viral vector biology, protein biochemistry, plant defense (Arabidopsis), in vivo mouse models, molecular modeling, structural biology I help research teams, academic institutions, and biotech companies accelerate their scientific breakthroughs through rigorous analysis and expert consultation. What I Deliver: - Cryo-EM structural analysis and molecular modeling (PyMOL, COOT) - qRT-PCR data analysis and gene expression studies - Research methodology design and protocol optimization - Scientific writing, grants, and publication support Results You Can Expect: - Troubleshooting experimental protocols (proven track record of improving protein purification yields by 25%) - Publication-ready data visualization - Research protocols that ensure reproducibility and accuracy - Clear scientific communication for any audience level Academic Credentials: PhD Biochemistry candidate (University of Missouri) | BS Microbiology (Oklahoma State University) | Cambridge International Studies Recognition: 2 peer-reviewed publications | International conference presenter Ready to advance your research goals? Let's discuss your project.

Hello, I’m Muzammal Aziz—a Computational Mathematician, Data Analyst, and LaTeX/Overleaf Expert with advanced research and industry experience. I specialize in solving complex problems in mathematics, data analysis, and scientific computing, helping clients turn ideas into precise, high-quality results. Currently, I am pursuing a PhD in computational mathematics at Università Cattolica del Sacro Cuore (Italy) and KU Leuven (Belgium), working on mathematics, biofluid dynamics, biomedical engineering, and computational modeling. My work combines mathematics, engineering, and data-driven approaches. 🔬 What I Do Best 📊 Data Analysis & Insights - SQL (data extraction, cleaning, optimization) - Tableau (dashboards, business insights) - Python (NumPy, Pandas, visualization) - Statistical analysis for business & research 📐 Mathematics & Scientific Computing - Calculus, Linear Algebra, Differential Equations - Numerical methods & modeling - CFD & simulation support (ANSYS Fluent) - Research-level problem solving 📄 LaTeX & Overleaf Expertise - Research papers, theses, reports - Mathematical formatting (advanced equations) - Conversion: Word / handwritten → LaTeX - Journal-ready formatting 🎓 Academic Coaching (Premium Tutoring) - 1-on-1 guidance for university & graduate students - Support in advanced mathematics, statistics, and modeling - Help with assignments, exams, and research understanding - Step-by-step explanation of complex concepts 👉 Focused on deep understanding, not just solving problems. 🤖 AI & Technical Content - Training AI models (math, physics, language) - Writing technical and educational content - Dataset annotation & evaluation 💼 Why Clients Hire Me ✔ Highly-rated tutor on Upwork ✔ PhD-level expertise — not just theory, but real research & applications ✔ High accuracy & detail-oriented work — especially for technical projects ✔ Clear communication — I explain complex ideas simply ✔ Reliable & professional — deadlines matter I don’t just complete tasks — I deliver solutions that add value. 🎯 Let’s Work Together If you need help with: - Advanced tutoring or research guidance on math (any subject) and statistics - Data analysis or dashboards - Mathematical modeling or simulations - LaTeX documents or academic writing - AI training or technical tasks 👉 Send me a message — I’d be happy to discuss your project.

I'm a full-blooded mathematician with scientific background in math, physics and computer science and basically interested in everything. :-) I worked for several years at university, did my PhD in the field of statistical image and data analysis, gave lectures and tutorials and supervised several students and theses. I'm very familiar with Boolean and linear algebra, analysis, probability theory, statistics, linear and nonlinear (convex) optimization and of course image and data analysis. Now, I'm working in the field of IT security, especially cryptography and side-channel analysis with machine learning and AI methods. Besides math (or more general, science), I‘m personally very interested in sports, fitness and health topics. I like to help with math assignments or programming tasks (including reimplementing the results of papers, e.g. in Python, R or Matlab), proofreading publications or theses, writing résumés and typing/formatting texts with LaTeX, and creating graphics with Tikz. Furthermore, due to my background in image processing, I have comprehensive experience in photo and video editing. As a native German I‘m happy to support in any translation or proofreading tasks involving German. At school I studied Latin for 9 years and really like the language, so I gladly offer any kind of support here as well. I’m also fluent in English and Swedish. Furthermore, I love writing calligraphy and handlettering and would be happy to realize your individual project. As I like thinking about mathematical problems, I enjoy solving logical quizzes, puzzles, riddles etc. and will be happy to support you with any kind of related projects (e.g. reviewing them for correctness, difficulty, clearity,…). Finally, I can also assist with tasks regarding the German tax system (e.g. Elster online, tax returns, VAT).